Abstract
This paper describes the concept and basic principles of methods for determining the regions of functional neuronal connectivity of the human brain which formed the basis of the Neuroimaging system at the National Research Center “Kurchatov Institute” for processing and analyzing experimental MRI/fMRI data. A method of functional segmentation (MFS) module of the system is presented for remotely launching tasks of identifying functionally homogeneous regions of the human brain at rest by using a unique MFS method that provides clustering using Pearson’s correlation coefficient. Tests of the module on real fMRI data is described.
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Funding
These works were carried out as part of research activities on the subject “Creating a Distributed Modular Platform for Research and the Digital Laboratory Project” approved by order of the NRC “Kurchatov Institute” from July 2, 2020, no. 1055, and with support from the Russian Foundation for Basic Research (scientific project no. 18-29-23020 mk).
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Translated by K. Lazarev
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Enyagina, I.M., Polyakov, A.N., Poyda, A.A. et al. Implementing Methods for Calculating the Functional Connectivity of Regions of the Human Brain at Rest and Neuroimaging Using Data of Functional Nuclear Magnetic Resonance Imaging (fMRI). Phys. Part. Nuclei Lett. 18, 496–501 (2021). https://doi.org/10.1134/S1547477121040063
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DOI: https://doi.org/10.1134/S1547477121040063